Engineers at Analog Devices (ADI) solve some of the world's most complex engineering problems. To be able to do so with ease, they need access to the best IC design infrastructure available. We, the Engineering Enablement (EE) team at ADI, aim to do just that, by building the infrastructure and support required by ADI's design community. The Analog Devices EE Central Engineering Support team is the first responder for the design community. We come from diverse technical backgrounds and strive to provide the best user experience to design teams, utilizing a full range of EDA design tools and workflows
This role provides central engineering support for ADI's design community, focusing on the day‑to‑day engineering support, usability, and automation of EDA tools, software platforms, and design workflows used in analog and mixed‑signal IC development. The engineer will combine hands‑on tool and infrastructure support with software development and automation, contributing scripts, utilities, and AI‑assisted workflows that reduce manual effort and improve user self‑service. If you're ready to be part of a team that empowers engineers to overcome challenges and push the boundaries of IC design, we encourage you to apply.
Responsibilities and Duties include but are not limited to:
- Provide central engineering support for EDA tools, software platforms, and design workflows, including analog/mixed‑signal flows, physical verification, design data management, and compute infrastructure.
- Develop, enhance, and maintain automation scripts and software tools (primarily in Python, with Tcl/Bash/Perl/SKILL as needed) to support environment setup, diagnostics, workflow validation, and operational tasks.
- Implement software solutions for log analysis, issue triage, regression checks, and monitoring of EDA and infrastructure workflows.
- Apply AI‑assisted techniques to improve support efficiency, including use of LLMs for diagnostics support, documentation generation, and guided troubleshooting, with exposure to EDA AI concepts such as agent‑based workflow optimization.
- Investigate and resolve tool, access, permission, configuration, and environment issues, providing clear root‑cause analysis and documented resolutions.
- Reproduce reported issues by creating test cases and validation scenarios, submit internal and vendor bug reports, and track issues to closure.
- Troubleshoot performance and reliability issues in collaboration with IT and EE development teams, including interaction with job schedulers and resource management systems.
- Support EDA and software licensing operations, including availability, usage, and integration with automated workflows.
- Contribute to cloud‑based automation efforts, including interaction with AWS‑hosted services or compute environments where applicable.
- Create and maintain knowledge base content, FAQs, and internal documentation, with a focus on enabling self‑service and reducing recurring support issues.
Minimum Qualifications
- Bachelor's degree (Master's preferred) in Computer Science, Electronics Engineering, or a related field.
- 3–5 years of relevant experience in EDA, CAD, software, or engineering enablement roles.
- Proven experience with automation and software development, using one or more of: Python, Tcl, Bash, Perl, SKILL
- Familiarity with revision control systems, issue tracking, and collaboration tools.
- Strong communication and interpersonal skills, with the ability to explain complex technical topics clearly.
- Detail‑oriented, well‑organized, and effective in a collaborative engineering environment.
Preferred Qualifications
- Experience with Git, Perforce, or SVN.
- Familiarity with the Cadence and/or Synopsys design platform.
- Familiarity with Siemens‑Mentor Calibre tools and physical verification flows.
- Exposure to deep‑submicron semiconductor manufacturing technologies.
- Hands‑on or applied exposure to:
- LLMs and AI‑assisted automation
- EDA AI techniques, including intelligent agents and optimization‑driven flow
